Factors determining the development of intelligent transport systems
Abstract
Purpose – foreign and Lithuanian researchers analyse the benefits of ITS (Intelligent transport systems) application and development opportunities in various aspects. Due to the rapid development of technology, most authors emphasise the need for new or at least repeated research on intelligent transport systems ITS. The aim of this article is to evaluate the factors determining the development of ITS after theoretical substantiation.
Research methodology – the primary data was collected from the following databases: Eurostat, OECD, World Bank. This study uses the analysis of scientific literature, expert survey, multicriteria assessment (SAW and COPRAS methods).
Findings – the results of this article indicate which factors determine the development of ITS the most: investments, the aim to increase road safety, well-developed infrastructure. It also identifies which of the chosen for analaysis countries has the greatest potential for developing of ITS – Germany.
Research limitations – firstly, due to the lack of statistics only eight countries are included and the period of analysis is only two years. Another limitation is that experts from only two countries completed the survey.
Practical implications – research on the development of ITS is carried out in order to analyse the country that has the biggest opportunity to develop ITS and the factors affecting the mentioned development. The results can be beneficial for ministries of transport in different countries for planning the application of ITS.
Originality/Value – current study contributes to the existing literature by examining the specific factors affecting the development of ITS that were not analysed earlier. This article differs from others as includes some Northern ,Western European and Baltic countries. Findings can be used by government in planning the installation of ITS to get the maximum benefit from it.
Keyword : intelligent transport systems, congestion, safety, development of intelligent transport systems, multi-criteria evaluation
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Centers for Disease Control and Prevention. (n.d.). Road traffic injuries & deaths – A global problem. Retrieved July 9, 2021, from https://www.cdc.gov/injury/features/global-road-safety/index.html
Choosakun, A., Chaiittipornwong, Y., & Yeom, C. (2021). Development of the cooperative intelligent transport system in Thailand: A prospective approach. Infrastructures, 6(3). https://doi.org/10.3390/infrastructures6030036
European Commission. (2016). Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions, COM(2016)(766). An European strategy on Cooperative Intelligent Transport Systems, a milestone towards cooperative, connected and automated mobility. https://ec.europa.eu/energy/sites/ener/files/documents/1_en_act_part1_v5.pdf
George, J., Badoniya, P., & Naqvi, H. A. (2018). Integration of Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for supplier selection. International Journal for Science and Advance Research In Technology, 4(8), 18–22.
Giannopoulos, G. A., Mitsakis, E., & Salanova, J. M. (2012). Overview of Intelligent Transport Systems (ITS) developments in and across transport modes. (Report). Joint Research Centre, European Commision.
Ginevičius, R., & Podvezko, V. (2008). The problem of compatibility of various multiple criteria evaluation methods. Business: Theory and Practice, 9(1), 73–80. https://doi.org/10.3846/1648-0627.2008.9.73-80
Global Market Insights (n.d.). Intelligent Transportation System (ITS) market share report 2019–2025. Retrieved June 29, 2021, from https://www.gminsights.com/industry-analysis/intelligent-transportation-system-ITS-market
Grand View Research. (n.d.). Intelligent Transportation System market size report, 2020–2027. Retrieved July 17, 2021, from https://www.grandviewresearch.com/industry-analysis/intelligent-transportation-systems-industry
Haseeb, J. (2017). Definition, objectives and importance of intelligent transportation system. https://www.aboutcivil.org/intelligent-transport-ITS-objectives-importance.html
Hasegawa, T. (2015). Intelligent Transport System. In Traffic and Safety Science – Interdiciplinary Wisdom of IATSS (1 ed., Chapter 5). The Japan Times, Ltd. http://www.iatss.or.jp/en/publication/commemorative-publication/
Hassanpour, S., Ghanbarzadeh, K., & Nozarigilan, M. (2016). Economic analysis of intelligent systems in urban transportation (smart cameras). European Online Journal of Natural and Social Sciences, 5(3), 227–233.
Janušová, L., & Čičmancová, S. (2016). Improving safety of transportation by using intelligent transport systems. Procedia Engineering, 134, 14–22. https://doi.org/10.1016/j.proeng.2016.01.031
Jarašūnienė, A. (2007). Research into intelligent transport systems (ITS) technologies and efficiency. Transport, 22(2), 61–67. https://doi.org/10.3846/16484142.2007.9638100
Karaca, C., Ulutaş, A., Yamaner, G., & Topal, A. (2019). The selection of the best Olympic place for Turkey using an integrated MCDM model. Decision Science Letters, 8, 1–16. https://doi.org/10.5267/j.dsl.2018.5.005
Katerna, O. (2019). Intelligent Transport System: the problem of definition and formation of classification system. Economic Analysis, 0259(29(2)), 33–43. https://doi.org/10.35774/econa2019.02.033
Khan, S. M., Dey, K., Rahman, M., Lantz, K., & Chowdhury, M. (2014, June). Potentials for intelligent transportation systems deployment in developing countries – A case study. In 21st World Congress on Intelligent Transport Systems, ITSWC 2014: Reinventing Transportation in Our Connected World (Vol. 6). Intelligent Transportation Society of America.
Lu, M., Turetken, O., Adali, O. E., Castells, J., Blokpoel, R., & Grefen, P. (2018, September). Cooperative Intelligent Transport Systems (C-ITS) deployment in Europe: Challenges and key findings. In 25th ITS World Congress, EU-TP1076.
Małecki, K., Iwan, S., & Kijewska, K. (2014). Influence of Intelligent Transportation Systems on reduction of the environmental negative impact of urban freight transport based on Szczecin example. Procedia – Social and Behavioral Sciences, 151, 215–229. https://doi.org/10.1016/j.sbspro.2014.10.021
Merriam-Webster. (n.d.). Globalisation. In Merriam-Webster.com dictionary. Retrieved July 7, 2021, from https://www.merriam-webster.com/dictionary/globalization
Öörni, R. (2019). Agile evaluation methods for intelligent transport systems – definitions of agile characteristics and assessment criteria [Doctoral dissertation]. Aalto University, Finland.
Organ, A., & Yalçın, E. (2016). Performance evaluation of research assistants by COPRAS method. European Scientific Journal, (August), 102–109.
Perallos, A., Hernandez-Jayo, U., Onieva, E., & Ignacio Julio, G.-Z. (2016). Intelligent transport systems: Technologies and applications. Wiley. https://doi.org/10.1002/9781118894774
Plaksin, S. M., Kondrashov, A. S., Yastrebova, E. V., Reshetova, E. M., & Krupenskiy, N. A. (2015). The pros and cons of the Intelligent Transportation System implementation at Toll Plazas in Russia. SSRN. https://doi.org/10.2139/ssrn.2701796
Podvezko, V. (2005). Ekspertų įverčių suderinamumas. Technological and Economic Development of Economy, 11(2), 101–107. https://doi.org/10.3846/13928619.2005.9637688
Road Network Operations & Intelligent Transport Systems. (n.d.). Who benefits from ITS? Retrieved May 17, 2021, from https://rno-its.piarc.org/en/its-basics-benefits-its/who-benefits-its
Rodrigue, J.-P. (2020). 10.1 – Improving transport infrastructure. The Geography of Transport Systems. https://doi.org/10.4324/9780429346323
Sampson, E., Signor, L., Flachi, M., Hemmings, E., Somma, G., Aifadopoulou, G., Mitsakis, E., & Sourlas, V. (2019). Intelligent Transport Systems (ITS) and SUMPs – making smarter integrated mobility plans and policie. ERTICO. www.ertico.com
Sarkar, P. K., & Jain, A. K. (2018). Intelligent transport systems. PHI Learning Private Limited.
Simanavičienė, R. (2011). Daugiatikslių sprendimo priėmimo metodų jautrumo analizė taikant Monte Karlo modeliavimą. Informacijos mokslai, 560, 182–190. https://doi.org/10.15388/Im.2011.0.3138
Statista. (n.d.). Global car sales 2010 –2020. Retrieved May 29, 2021, from https://www.statista.com/statistics/200002/international-car-sales-since-1990/
Taie, S., & Elazb, A. (2016). Challenge of Intelligent Transport System. International Journal of Modern Engineering Research (IJMER), 6(10).
Toulouki, M. A., Vlahogianni, E. I., & Gkritza, K. (2017). Perceived socio-economic impacts of cooperative Intelligent Transportation Systems: A case study of Greek urban road networks. In 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 – Proceedings (pp. 733–737). https://doi.org/10.1109/MTITS.2017.8005609
United Nations. (2017, December). Development of model intelligent transport systems deployments.
United States Department of Transportation. (n.d.). Intelligent Transportation Systems – Benefits of Intelligent Transportation Systems fact sheet. Retrieved June 19, 2021, from https://www.its.dot.gov/factsheets/benefits_factsheet.htm
Vencataya, L., Pudaruth, S., Dirpal, G., & Narain, V. (2018). Assessing the causes & impacts of traffic congestion on the society, economy and individual: A case of Mauritius as an emerging economy. Studies in Business and Economics, 13(3), 230–242. https://doi.org/10.2478/sbe-2018-0045
Veryard, D. (2016). Quantifying the socio-economic benefits of transport: Roundtable summaries and conclusions. International Transport Forum.
Viteikiene, M., & Zavadskas, E. K. (2007). Evaluating the sustainability of vilnius city residential areas. Journal of Civil Engineering and Management, 13(2), 149–155. https://doi.org/10.3846/13923730.2007.9636431
Wang, X., Zhang, F., Li, B., & Gao, J. (2016). Developmental pattern and international cooperation on intelligent transport system in China. Case Studies on Transport Policy, 5(1), 38–44. https://doi.org/10.1016/j.cstp.2016.08.004
World Health Organization. (2015). Executive summary. In Global status report on road safety 2015. Retrieved July 27, 2021, from https://www.who.int/violence_injury_prevention/road_safety_status/2015/Executive_summary_GSRRS2015.pdf